Engineering Team Lead

Build the next generation of DVC for managing unstructured data

Participate in product lifecycle from concept to production

Architect scalable data models and ETL pipelines

Design and launch self-serve analytics products

Develop machine learning algorithms for NLP/LLMs and deep learning models.

Analyze large datasets to make predictions and generate responses.

Develop high-quality prompts to enhance AI model performance.

Implement machine learning algorithms for NLP and deep learning models.

Develop cutting-edge solutions for workforce development and talent recognition.

Translate military skills into civilian career opportunities through digital tools and consulting services.

Ensure high-quality software delivery for schools and trusts

Implement and improve QA processes

Support schools and multi-academy trusts with school management software.

Streamline operations, improve data management, and enhance staff productivity.

Drive cross-functional data initiatives

Collaborate with various teams to uncover insights

Deliver strategic software development initiatives

Focus on application technology strategy and digital product engineering

Crafting cutting-edge technologies for industry revolution

Contributing to exciting and impactful projects

Contribute to cutting-edge software projects

Drive innovation in urban living, new media, and healthcare

Lead data science initiatives

Collaborate with teams for data insights

Provide Hadoop Administration and optimization for big data clusters

Install, configure, and monitor distributed systems and middleware application performance

Develop and optimize data pipelines for healthcare information access globally.

Improve data collection efficiency and reliability.

Analyze patient data for treatment impact

Collaborate with cross-functional partners

Hiring remote IT professionals for digital transformation projects

Providing AI strategies and cloud services

Lead design and development of data architecture

Implement scalable and reliable data pipelines

Seeking a Senior Machine Learning Engineer to work on machine learning in the AdTech space

Desire for someone with experience in deploying big data-based models

Efficient data storage and processing

Facilitating business intelligence

Leverage data for operational efficiency

Tailor industry solutions for specific sectors

Enhancing workforce productivity through AI automation

Streamlining business operations with cutting-edge technology

Develop DVCx as a core infrastructure component for managing large unstructured datasets.

Enhance datasets and add signals at scale for improved data management.

Drive data-driven strategies for product development.

Enhance business and customer impact through data analysis.

Lead key data engineering projects

Utilize cutting-edge technologies like Hadoop and Spark

Hiring remote professionals for data engineering roles

Emphasizing people as a competitive advantage

Develop and implement BI solutions for data-driven decision-making

Collaborate with stakeholders to align BI solutions with business goals

Develop machine learning algorithms for NLP at scale

Analyzing large datasets to make predictions and identify patterns

Develop high-quality prompts for AI models

Implement machine learning algorithms for NLP

Optimize iVisa's operations through data analysis

Enhance customer experiences using machine learning

Empower individuals through financial services.

Foster an inclusive workplace culture.

Enhancing customer conversations through real-time intelligence

Leveraging AI to boost productivity in businesses

Transform shopping experience

Enhance retail operations

Develop data infrastructure and systems for various business functions

Implement data observability and monitoring

Develop machine learning algorithms to enhance user experience.

Implement models for streamlining music production processes.

- Develop advanced AI algorithms for fleet optimization - Collaborate with teams to analyze data

nd create predictive models - Implement machine learning solutions to improve maintenance

Top Intents: - Design and implement AI solutions for government projects - Leverage technology to

prove citizen services - Modernize government processes - Improve public service delivery - Work on

- Develop AI models for various applications - Enhance existing AI algorithms - Implement AI

ns in real-world scenarios - Collaborate with cross-functional teams - Stay updated on latest AI

. Develop machine learning algorithms to detect fake online reviews efficiently. •

. Collaborate with a team of engineers to improve the accuracy of the Fakespot tool. •

. Lead and manage the AI Team effectively

. Drive innovation in AI technologies

. Provide remote work opportunities for data professionals

. Match skilled individuals with companies seeking remote talent

- Develop and maintain ETL pipelines - Implement data modeling techniques - Optimize data

ing and storage - Collaborate with cross-functional teams - Explore new technologies and

Represent customers' voice, Understand strategic priorities, Drive exceptional customer experience,

Lead agile ceremonies, Conduct competitive

Recruit and mentor software development talent, Work closely with product and UX teams, Provide

nical guidance to developers, Champion Agile processes, Support team output with code

Design and develop trading insight products, Utilize big data and AI for actionable market

ties, Collaborate with cross-functional teams, Analyze product performance and user feedback,

- Develop and maintain data pipelines - Optimize data processing and storage - Implement data

ance policies - Collaborate with cross-functional teams - Drive innovation in data

. Develop machine learning models for vendor risk management platform. •

. Collaborate with team to improve data analysis techniques. •